recognition signal的例句大全

The target recognition observes the following process-first resolving the wavelet of radar echo-signal, selecting the optimum wavelet bases via given training sample sets based on distance criteria to get the feature vector for target recognition, thus the targets are recognized by the effective features.

首先，对雷达回波信号进行小波分解，利用距离准则，选择最优小波包基，从被识别的信号中提取具有最大可分性的特征，得到目标识别的特征向量，由此进行目标识别。

Method of Singularity Target Signal Multiscale Orientation and Recognition

奇异目标信号的多尺度定位识别方法

Fabric defect is singular signal, wavelet transform provides a multiresolution framework, has good time-frequency characteristics, so it has theoretical significance and application value to discuss defect detection and recognition in wavelet domin.

织物疵点是奇异信号，小波变换提供了一种多分辨率框架，具有良好的时频局部特征，因此，研究小波域的特征的疵点检测与识别具有理论意义和应用价值。

To counter the exist problem in quantative test of broken wire for steel rope, a pattern recognition method of steel rope fault signal was put forward based on back-propagation network.

针对目前钢丝绳断丝检测定量识别中存在的问题，提出了基于BP神经网络的钢丝绳断丝损伤信号的模式识别方法。

According to the fuzzy theory, the closing garde between the theoretical distribution of chatter signal and the empirical distribution of testing data is constructed in this paper. Based on the closing grade, a fuzzy recognition software for chatter state is developed using C programming.

利用模糊数学原理构造了实验数据经验分布与颤振信号理论分布的贴近度，探讨了颤振状态的模糊识别问题，并基于C语言给出一个颤振状态的模糊识别系统。

Speech separation has been a hot topic in signal processing society recently years, which has many applications and influence in telephone conference, hearing aid, portable devices, speech recognition.

语音信号的分离近年来成为信号处理领域的一个研究热点，它在电话会议、助听器及便携设备、机器的语音识别方面有很多的应用与影响。

Blind separation of speech signals has become one of the attractive trend in the field of signal processing in recent years, owing that it has a wide application prospect in speech recognition system, computer hearing, mobile speech data communication and television and telephone conference.

因其在语音识别系统、计算机听觉、移动语音数据通信以及电视电话会议中具有广泛的应用前景，近年来日益成为信号处理领域的研究热点之一。

The speech signal is essentially continuous, so the speaker recognition rate can be improved if we obtain the temporal correlation in the frames.

语音信号本质上具有连续性，所以获取语音帧特征之间的时变特性，将对识别的性能带来提高。

Since the widely used Hidden Markov Model ( HMM) in speech recognition is first order Markov Model, it can not fully model the temporal dependence of speech signal.

由于在语音识别中被广泛应用的隐马尔可夫模型（HMM）是一重马尔可夫模型，它不能充分地描述语音信号的时间相依性。

The work of this paper can be divided into five parts: signal collecting, signal detection, classification recognition, terminal display and experimental analysis.

可以将本文的工作大致分为五个部分：数据采集、信号探测、分类识别、终端显示、实验分析。

Feature Extraction and Recognition of Loudspeaker Response Signal Based on Principal Components Analysis

基于PCA的扬声器响应信号特征提取及识别

If traffic congestion ( traffic state recognition) in road network is able to be detected in time, organized and coordinated effectively by appropriate signal control, which will help to reduce traffic time of traffic congestion and prevent the crowded from further spreading.

如果能够及时发现路网中存在的交通拥挤（交通状态识别），并采用合适的信号控制方式对其进行有效的组织与协调，则有助于减少交通拥挤的持续时间，防止拥挤的进一步扩散。

Automatic speaker recognition is the processing of automatically recognizing who is speaking by using speaker specific information included in speech signal.

自动说话人识别是指根据包含在语音中的同说话人有关的信息来自动识别说话人。

Design of signal sort recognition algorithm for Morse handcraft code

手工拍发的莫尔斯码信号种类识别算法设计

Based on the signal detection theory, an experiment on the recognition of colors was done by presenting two spectral signals of approximate colors.

本文根据信号检测理论，采用颜色相近的两光谱信号作分辨实验。

Partial Discharge Pattern Recognition of GIS Based on the UHF Signal Characteristics

根据UHF信号特征的GIS局部放电模式识别

State Recognition of Grinding Wheel Wear Utilizing Grinding Spark Signal

利用磨削火花信号识别砂轮磨损状态

Specific Radar Emitter Recognition Based on Maximum-Likelihood Criterion and Signal Decimation

基于信号抽取与最大似然准则的特定辐射源识别

Brain Computer Interface ( BCI) is the system that can realize the control and communication between human brain and computer or other electronic equipment by using bioelectric signal of human brain, the recognition of bioelectric signal of human brain is the core of the BCI.

脑机接口是一种利用人脑生物电信号实现人脑与计算机或其他电子设备通讯和控制的系统，人脑生物电信号的识别是脑机接口的核心。

Speedy Recognition of Noise in Real Time Signal Based on Wavelet Transform

基于小波变换的实时信号噪声快速识别